Senior Data Scientist - Data Quality & Validation (Hybrid)

NielsenIQ; Washington (District of Columbia); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NIQ is seeking a hands-on Senior Data Scientist to tackle data quality, sampling, and validation across large-scale consumer and retail datasets. This role emphasizes rigorous statistical methods and scalable data pipelines to support product decisions.

You will collaborate with data science, technology, and product teams to investigate data issues, validate outputs, and improve processes within cloud-based platforms.

Qualifications

• 3–6 years of experience in a Data Scientist, Statistical Analyst, or similar hands-on analytics role.
• Strong foundation in statistics, mathematics, econometrics, or data science.
• Advanced proficiency in Python (data manipulation, validation, analysis — not just modeling).
• Strong working knowledge of SQL and experience querying large, complex datasets.
• Experience with data cleaning, validation, aggregation, and quality control at scale.
• Hands-on experience in cloud environments, ideally Azure and Databricks.
• Experience working with version control (Git).
• Ability to explain technical concepts clearly and work independently with minimal supervision.

Responsibilities

• Work hands-on with large-scale consumer and behavioral datasets, supporting measurement products across North America.
• Evaluate data preparation, validation, and projection methodologies for improvement.
• Design and prototype new statistical or data-driven approaches.
• Develop end-to-end quality, validation, and performance indicators.
• Partner with Product, Engineering, and global Data Science teams to support production deployment.
• Investigate data issues, perform root-cause analysis, and recommend corrective actions.
• Summarize findings and recommendations for technical and non-technical stakeholders.
• Maintain documentation of methodologies, assumptions, and best practices.

Skills

3–6 years exp

Statistics

Python

SQL

Data quality

Cloud (Azure, Databricks)

Git

Communication

Tools

Azure

Databricks

Job description

NIQ is seeking a hands-on Senior Data Scientist to tackle data quality, sampling, and validation across large-scale consumer and retail datasets. This role emphasizes rigorous statistical methods and scalable data pipelines to support product decisions.

You will collaborate with data science, technology, and product teams to investigate data issues, validate outputs, and improve processes within cloud-based platforms.